No-code pipeline · Mautic → BigQuery

Send data from Mautic to BigQuery

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From Mautic to BigQuery: managed, scheduled, no code.
Kondado connects Mautic to BigQuery, automatically replicating your marketing automation data on a configurable schedule ranging from every 5 minutes to daily intervals, with no coding required.

Send Mautic Data to BigQuery Automatically

How do you centralize your marketing automation data for advanced analysis? Kondado makes it simple to send Mautic data to BigQuery without writing a single line of code. You connect your Mautic instance as a data source, select your BigQuery project as the destination, and configure how often you want your data refreshed. Whether you need near-real-time insights for active campaign monitoring or daily summaries for trend analysis, the platform handles the heavy lifting automatically while you focus on extracting value.

Once your pipeline is active, your Mautic tables and views flow directly into BigQuery, ready for complex SQL querying and custom visualization. Marketing teams can combine campaign performance metrics with other business data sources to uncover actionable trends, build comprehensive attribution models, and optimize their automation strategies based on complete data visibility.

Our prices start from $19 USD/month, and you can try Kondado for free for 14 days with no credit card required

The Tabelas e Views pipeline automatically maps all tables and views from your Mautic database, ensuring comprehensive access to your marketing automation records. This includes contact data, campaign interactions, email performance metrics, and custom fields that you have configured in your Mautic instance.

With this data in BigQuery, analysts can build custom attribution models tracking the complete customer journey from first touch to conversion. You can correlate Mautic engagement metrics with sales data from your CRM or web analytics from Google Sheets imports, creating unified dashboards in Looker Studio that reveal which automation sequences drive actual revenue.

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Replicated to BigQuery

Dynamic data

Kondado automatically reads the schema of your Mautic. All tables, views, and fields available in your account are extracted without manual configuration.

1
available pipeline
BigQuery
Destination

What Kondado extracts

Tabelas e Views
Kondado automatically maps all tables and views available in your database

Try out all the features for free for 14 days

How to send Mautic data to BigQuery

Sync data automatically — no code, no manual exports.

1
Connect Mautic as data source

Access the pipeline configuration interface and add Mautic as your data source by entering your database host, username, and password credentials.

2
Configure BigQuery destination

Select BigQuery as your target warehouse and provide your Google Cloud project details to establish the destination connection.

3
Select tables and schedule

Choose which tables and views to replicate from the available Tabelas e Views pipeline, then set your preferred update frequency from 5 minutes to daily intervals.

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Frequently Asked Questions (FAQ)

Answers about sending Mautic data to BigQuery automatically

How does Kondado replicate Mautic data to BigQuery?
Kondado connects directly to your Mautic database and replicates your selected tables and views to BigQuery on your chosen schedule. The platform handles schema mapping automatically, ensuring your marketing data lands in BigQuery ready for analysis without manual transformation work.
What Mautic data can I replicate to BigQuery?
Through the Tabelas e Views pipeline, you can replicate all standard Mautic tables including contacts, companies, campaigns, emails, forms, and page hits. Any custom tables or views you have created in your Mautic database are also available for replication to BigQuery.
How often does Mautic data update in BigQuery?
You control the update frequency, choosing from intervals as frequent as every 5 minutes for near-real-time monitoring, or longer periods like hourly or daily for standard reporting needs. This configurable schedule ensures your BigQuery datasets reflect your marketing activity without overwhelming your source system.
What format does Mautic data take in BigQuery?
Mautic data arrives in BigQuery as structured tables that preserve your original schema, with appropriate data types mapped for SQL compatibility. Each table maintains relationships through foreign keys, allowing you to write joins across contacts, campaigns, and activities just as you would in Mautic, but with BigQuery's processing power.
Can I combine Mautic data with other sources in BigQuery?
Yes, BigQuery serves as a central warehouse where Mautic data can be joined with information from Mautic and other sources like PostgreSQL or MySQL databases. This enables comprehensive analysis across your entire marketing and sales stack within a single query environment.
Do I need coding skills to connect Mautic to BigQuery?
No coding is required to establish the connection, as Kondado provides a no-code interface for configuring your Mautic data source and BigQuery destination. You simply enter your database credentials, select your tables, and set your schedule through the visual pipeline builder.
Can I send Mautic data to destinations other than BigQuery?
While this page focuses on BigQuery, Kondado supports multiple destinations for your Mautic data. You can also send data to Power BI, Google Sheets, or PostgreSQL depending on your reporting infrastructure needs.
How do I create reports from Mautic data in BigQuery?
Once your data is in BigQuery, you can query it using standard SQL to build custom metrics and dimensions specific to your marketing KPIs. Connect your BigQuery dataset to Looker Studio or Power BI to visualize campaign performance, contact engagement trends, and conversion funnels tailored to your business requirements.

Try out all the features for free for 14 days

Try out all the features for free for 14 days